Evidence map›Paper›PMID 32240448›Full record

ReviewJournal of industrial microbiology & biotechnology2020

Application of computational fluid dynamics (CFD) on the raceway design for the cultivation of microalgae: a review.

Adi Kusmayadi, Eko Agus Suyono, Dillirani Nagarajan, Jo-Shu Chang, Hong-Wei Yen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Adi KusmayadiDepartment of Chemical and Material Engineering, Tunghai University, Taichung, Taiwan.
Eko Agus SuyonoFaculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Dillirani NagarajanDepartment of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan.
Jo-Shu ChangDepartment of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan.
Hong-Wei YenDepartment of Chemical and Material Engineering, Tunghai University, Taichung, Taiwan. hwyen@thu.edu.tw.ORCID http://orcid.org/0000-0003-0616-7357

Funding

Ministry of Science and Technology, Taiwan 104-2628-E-029-003-MY3Ministry of Science and Technology, Taiwan 105-2621-M-029-003-MY2
6 · The paper itself

Abstract

Microalgae are a potential solution to supersede fossil fuels and produce renewable energy. The major obstacle to the commercialization of microalgae-based biofuels is the high production cost, including nutritional requirements, photobioreactor design, and downstream processes. As for the photobioreactor design, open ponds have been adopted by major commercial plants for their economic advantages. Raceway is a popular type among open ponds. Nevertheless, the fluid dynamics of the raceway operation is quite complex. Software simulation based on Computational Fluid Dynamics is an upcoming strategy for optimizing raceway design. The optimization intends to affect light penetration, particle distribution, mass transfer, and biological kinetics. This review discusses how this strategy can be helpful to design a highly productive raceway pond-based microalgal culture system.

Indexed as

MicroalgaeBiofuelsHydrodynamicsKineticsPondsBiofuelsBiological kineticsCFDLight penetrationParticle distributionRaceway

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.